Operations | Monitoring | ITSM | DevOps | Cloud

Over the years the adoption of Elasticsearch and its ecosystem of tools positioned them as the leaders in the time series data management and analysis market. With strong search capabilities, great analytical engine, Kibana as the flexible frontend and a number of data shippers enable building of end to end data processing pipeline using components designed to work with each other. Very simple setup and configuration resulted in high adoption rates and the whole stack gaining more and more users.

Logstash plays an extremely important role in any ELK-based data pipeline but is still considered as one of the main pain points in the stack. Like any piece of software, Logstash has a lot of nooks and crannies that need to be mastered to be able to log with confidence. One super-important nook and cranny is the Logstash configuration file (not the software’s configuration file (/etc/logstash/logstash.yml), but the .conf file responsible for your data pipeline).

More than 1.55 million room nights are reserved on the Booking.com platform every day. It’s a staggering amount of traffic, and not surprisingly, the Amsterdam-based travel e-commerce company has a lot of knowledge to share about handling metrics at scale.

When people talk about web analytics, you immediately think of Google Analytics. But there is life beyond Google Analytics. There are many web analytics tools that currently exist on the web and many that are emerging daily. Knowing how to combine these tools well is key to a good web analytics strategy that allows us to understand what happens on our website and how our users act.

Despite being one of the most important factors that affect online businesses today, downtime is also often one of the most overlooked. Many organizations realize that downtime results in immediate money loss, customer satisfaction and employee productivity, yet fail to employ measures that will efficiently prevent it and reduce it.

Famed management thinker Peter Drucker is often quoted as saying, “You can’t manage what you can’t measure.” Tracking and analyzing data of a system provides metrics to measure, predict, and improve the underlining health of the system. Logging data is the simplest act of collecting data for measurement and plays an important role in modern enterprises, as it provides a way to measure the health of hardware devices and software applications alike.

The emergence of a new breed of commercial open source company, challenging the dominance of public cloud, has set off a licensing war that calls into question the very meaning of open source. We debated this topic at last month’s GrafanaCon Los Angeles, where I participated in a spirited panel. Since then, the battle lines have been redrawn. Last week, Amazon announced its Open Distribution for Elasticsearch. And MongoDB Inc. abandoned OSI approval of its new SSPL license.